To introduce topics in Statistics and to describe and discuss basic statistical methods.

To describe the scope of  the application of these methods.

  to describe statistical data;

 to use the Binomial, Poisson, Exponential and Normal distributions;

to perform simple goodness-of-fit tests

to use the package Minitab to present data, and to make statistical analysis

Introduction and description of data

Examples of what "Statistics" as a discipline is about, populations and samples, graphical summaries, shape, location and spread of data.

Elements of Probability Theory

Intuitive meaning of probability, events, compound events, conditional probability and Bayes'' rule.

Probability Distributions

Discrete and continuous random variables: the probability mass function, the probability density function and distribution function. Expectation and Variance. The Binomial and Poisson distributions. The Normal Distribution. Approximations.

Statistical Inference

The principles of hypothesis testing, the chi-squared test of goodness of fit, the chi-squared test of association, central limit theorem, Normal confidence intervals.

Statistics using Minitab.